ENCO YData Profiling Report

Dataset statistics

Number of variables	26
Number of observations	80577
Missing cells	45560
Missing cells (%)	2.2%
Duplicate rows	17518
Duplicate rows (%)	21.7%
Total size in memory	30.3 MiB
Average record size in memory	393.9 B

Variable types

Text	2
Numeric	13
Categorical	10
DateTime	1

Alerts

`n_hog` has constant value "1"	Constant
Dataset has 17518 (21.7%) duplicate rows	Duplicates
`p1` is highly overall correlated with `p3`	High correlation
`p2` is highly overall correlated with `p4`	High correlation
`p3` is highly overall correlated with `p1`	High correlation
`p4` is highly overall correlated with `p2`	High correlation
`p5` is highly overall correlated with `p6`	High correlation
`p6` is highly overall correlated with `p5`	High correlation
`h_mud` is highly imbalanced (87.1%)	Imbalance
`p14` is highly imbalanced (61.3%)	Imbalance
`p15` is highly imbalanced (51.4%)	Imbalance
`ing` has 45560 (56.5%) missing values	Missing
`con` is highly skewed (γ1 = -25.15729878)	Skewed

Reproduction

Analysis started	2024-10-08 23:46:37.228044
Analysis finished	2024-10-08 23:47:14.672018
Duration	37.44 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

fol
Text

Distinct	81
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.2 MiB

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	483462
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	12A207
2nd row	12A207
3rd row	12A207
4th row	12A207
5th row	12A207

Value	Count	Frequency (%)
11a201	1818	2.3%
11a208	1691	2.1%
11a205	1686	2.1%
11a218	1654	2.1%
11b211	1626	2.0%
11a216	1609	2.0%
11b201	1609	2.0%
11b198	1592	2.0%
11a206	1564	1.9%
12b195	1558	1.9%
Other values (71)	64170	79.6%

Most occurring characters

Value	Count	Frequency (%)
1	167522	34.7%
2	102815	21.3%
A	40467	8.4%
0	40373	8.4%
B	40110	8.3%
3	22709	4.7%
9	19100	4.0%
4	10163	2.1%
8	10123	2.1%
6	10106	2.1%
Other values (2)	19974	4.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	483462	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	167522	34.7%
2	102815	21.3%
A	40467	8.4%
0	40373	8.4%
B	40110	8.3%
3	22709	4.7%
9	19100	4.0%
4	10163	2.1%
8	10123	2.1%
6	10106	2.1%
Other values (2)	19974	4.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	483462	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	167522	34.7%
2	102815	21.3%
A	40467	8.4%
0	40373	8.4%
B	40110	8.3%
3	22709	4.7%
9	19100	4.0%
4	10163	2.1%
8	10123	2.1%
6	10106	2.1%
Other values (2)	19974	4.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	483462	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	167522	34.7%
2	102815	21.3%
A	40467	8.4%
0	40373	8.4%
B	40110	8.3%
3	22709	4.7%
9	19100	4.0%
4	10163	2.1%
8	10123	2.1%
6	10106	2.1%
Other values (2)	19974	4.1%

ent
Real number (ℝ)

Distinct	32
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.686375

Minimum	1
Maximum	32
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	9
median	15
Q3	20
95-th percentile	30
Maximum	32
Range	31
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	7.7992565
Coefficient of variation (CV)	0.49719943
Kurtosis	-0.6032358
Mean	15.686375
Median Absolute Deviation (MAD)	6
Skewness	0.20110892
Sum	1263961
Variance	60.828403
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
19	9368	11.6%
14	8953	11.1%
9	7899	9.8%
15	6819	8.5%
11	3340	4.1%
21	2177	2.7%
1	2064	2.6%
5	2038	2.5%
7	1966	2.4%
30	1911	2.4%
Other values (22)	34042	42.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2064	2.6%
2	1734	2.2%
3	1221	1.5%
4	1453	1.8%
5	2038	2.5%
6	1095	1.4%
7	1966	2.4%
8	1430	1.8%
9	7899	9.8%
10	1775	2.2%

Value	Count	Frequency (%)
32	1507	1.9%
31	1510	1.9%
30	1911	2.4%
29	1563	1.9%
28	1537	1.9%
27	1477	1.8%
26	1449	1.8%
25	1841	2.3%
24	1556	1.9%
23	1606	2.0%

con
Real number (ℝ)

SKEWED

Distinct	657
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40285.871

Minimum	22251
Maximum	41418
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	22251
5-th percentile	40031
Q1	40141
median	40266
Q3	40382
95-th percentile	40599
Maximum	41418
Range	19167
Interquartile range (IQR)	241

Descriptive statistics

Standard deviation	588.67161
Coefficient of variation (CV)	0.014612359
Kurtosis	773.25543
Mean	40285.871
Median Absolute Deviation (MAD)	120
Skewness	-25.157299
Sum	3.2461146 × 10⁹
Variance	346534.26
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40087	459	0.6%
40403	432	0.5%
40264	384	0.5%
40410	379	0.5%
40277	378	0.5%
40269	374	0.5%
40377	373	0.5%
40241	368	0.5%
40262	352	0.4%
40134	350	0.4%
Other values (647)	76728	95.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
22251	48	0.1%
22256	10	< 0.1%
22259	13	< 0.1%
40001	176	0.2%
40002	125	0.2%
40003	107	0.1%
40004	128	0.2%
40005	193	0.2%
40006	105	0.1%
40007	214	0.3%

Value	Count	Frequency (%)
41418	44	0.1%
41417	48	0.1%
41415	32	< 0.1%
41408	12	< 0.1%
41405	36	< 0.1%
41398	72	0.1%
41396	17	< 0.1%
41388	12	< 0.1%
41387	42	0.1%
41380	104	0.1%

v_sel
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

3	20525
1	20248
2	19932
4	19872

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	80577
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	4
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	20525	25.5%
1	20248	25.1%
2	19932	24.7%
4	19872	24.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	20525	25.5%
1	20248	25.1%
2	19932	24.7%
4	19872	24.7%

Most occurring characters

Value	Count	Frequency (%)
3	20525	25.5%
1	20248	25.1%
2	19932	24.7%
4	19872	24.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	20525	25.5%
1	20248	25.1%
2	19932	24.7%
4	19872	24.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	20525	25.5%
1	20248	25.1%
2	19932	24.7%
4	19872	24.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	20525	25.5%
1	20248	25.1%
2	19932	24.7%
4	19872	24.7%

n_hog
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

1	80577

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	80577
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	80577	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	80577	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	80577	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	80577	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	80577	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	80577	100.0%

h_mud
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

0	77320
1	3061
2	176
3	20

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	80577
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	77320	96.0%
1	3061	3.8%
2	176	0.2%
3	20	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	77320	96.0%
1	3061	3.8%
2	176	0.2%
3	20	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	77320	96.0%
1	3061	3.8%
2	176	0.2%
3	20	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	77320	96.0%
1	3061	3.8%
2	176	0.2%
3	20	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	77320	96.0%
1	3061	3.8%
2	176	0.2%
3	20	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	77320	96.0%
1	3061	3.8%
2	176	0.2%
3	20	< 0.1%

i_per
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

	45118
1	20313
2	12447
3	2180
5	442

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	80577
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	3
3rd row	1
4th row	1
5th row

Common Values

Value	Count	Frequency (%)
	45118	56.0%
1	20313	25.2%
2	12447	15.4%
3	2180	2.7%
5	442	0.5%
4	77	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	20313	57.3%
2	12447	35.1%
3	2180	6.1%
5	442	1.2%
4	77	0.2%

Most occurring characters

Value	Count	Frequency (%)
	45118	56.0%
1	20313	25.2%
2	12447	15.4%
3	2180	2.7%
5	442	0.5%
4	77	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	45118	56.0%
1	20313	25.2%
2	12447	15.4%
3	2180	2.7%
5	442	0.5%
4	77	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	45118	56.0%
1	20313	25.2%
2	12447	15.4%
3	2180	2.7%
5	442	0.5%
4	77	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	45118	56.0%
1	20313	25.2%
2	12447	15.4%
3	2180	2.7%
5	442	0.5%
4	77	0.1%

ing
Real number (ℝ)

MISSING

Distinct	236
Distinct (%)	0.7%
Missing	45560
Missing (%)	56.5%
Infinite	0
Infinite (%)	0.0%
Mean	399391.85

Minimum	25
Maximum	999999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	25
5-th percentile	800
Q1	1900
median	6500
Q3	999999
95-th percentile	999999
Maximum	999999
Range	999974
Interquartile range (IQR)	998099

Descriptive statistics

Standard deviation	487287
Coefficient of variation (CV)	1.2200725
Kurtosis	-1.822428
Mean	399391.85
Median Absolute Deviation (MAD)	5500
Skewness	0.42108173
Sum	1.3985504 × 10¹⁰
Variance	2.3744862 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
999999	13899	17.2%
2000	1953	2.4%
1500	1764	2.2%
1000	1306	1.6%
1200	1211	1.5%
3000	1203	1.5%
2500	944	1.2%
5000	858	1.1%
4000	775	1.0%
9999	767	1.0%
Other values (226)	10337	12.8%
(Missing)	45560	56.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
25	1	< 0.1%
40	2	< 0.1%
50	8	< 0.1%
70	1	< 0.1%
80	2	< 0.1%
99	2	< 0.1%
100	39	< 0.1%
110	1	< 0.1%
120	7	< 0.1%
150	23	< 0.1%

Value	Count	Frequency (%)
999999	13899	17.2%
250000	4	< 0.1%
100000	6	< 0.1%
80000	1	< 0.1%
75000	1	< 0.1%
70001	1	< 0.1%
70000	6	< 0.1%
60000	13	< 0.1%
55000	1	< 0.1%
50000	22	< 0.1%

mpio
Real number (ℝ)

Distinct	80
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	41.892587

Minimum	1
Maximum	399
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	6
median	26
Q3	51
95-th percentile	120
Maximum	399
Range	398
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	52.820117
Coefficient of variation (CV)	1.2608464
Kurtosis	14.961196
Mean	41.892587
Median Absolute Deviation (MAD)	21
Skewness	3.1295518
Sum	3375579
Variance	2789.9647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	5008	6.2%
5	4377	5.4%
6	3937	4.9%
101	3778	4.7%
1	3622	4.5%
4	3266	4.1%
20	3179	3.9%
30	3122	3.9%
2	2868	3.6%
17	2709	3.4%
Other values (70)	44711	55.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3622	4.5%
2	2868	3.6%
3	2128	2.6%
4	3266	4.1%
5	4377	5.4%
6	3937	4.9%
7	2310	2.9%
8	751	0.9%
9	641	0.8%
10	1301	1.6%

Value	Count	Frequency (%)
399	164	0.2%
390	186	0.2%
385	230	0.3%
350	176	0.2%
193	1430	1.8%
157	72	0.1%
140	37	< 0.1%
136	128	0.2%
133	136	0.2%
123	56	0.1%

ageb
Text

Distinct	1778
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	4.1 MiB

Length

Max length	5
Median length	5
Mean length	4.9141566
Min length	4

Characters and Unicode

Total characters	395968
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	049-8
2nd row	049-8
3rd row	049-8
4th row	049-8
5th row	049-8

Value	Count	Frequency (%)
036-3	236	0.3%
013-3	236	0.3%
021-a	230	0.3%
106-7	214	0.3%
022-5	207	0.3%
112-2	198	0.2%
024-6	195	0.2%
042-3	192	0.2%
095-7	190	0.2%
005-9	183	0.2%
Other values (1768)	78496	97.4%

Most occurring characters

Value	Count	Frequency (%)
-	73660	18.6%
0	53474	13.5%
1	47113	11.9%
2	37451	9.5%
3	31864	8.0%
5	27969	7.1%
4	27067	6.8%
6	24489	6.2%
7	23001	5.8%
8	21410	5.4%
Other values (2)	28470	7.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	395968	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	73660	18.6%
0	53474	13.5%
1	47113	11.9%
2	37451	9.5%
3	31864	8.0%
5	27969	7.1%
4	27067	6.8%
6	24489	6.2%
7	23001	5.8%
8	21410	5.4%
Other values (2)	28470	7.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	395968	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	73660	18.6%
0	53474	13.5%
1	47113	11.9%
2	37451	9.5%
3	31864	8.0%
5	27969	7.1%
4	27067	6.8%
6	24489	6.2%
7	23001	5.8%
8	21410	5.4%
Other values (2)	28470	7.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	395968	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	73660	18.6%
0	53474	13.5%
1	47113	11.9%
2	37451	9.5%
3	31864	8.0%
5	27969	7.1%
4	27067	6.8%
6	24489	6.2%
7	23001	5.8%
8	21410	5.4%
Other values (2)	28470	7.2%

fch_def
Date

Distinct	242
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	629.6 KiB

Minimum	2022-01-03 00:00:00
Maximum	2022-12-21 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

p1
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.1476104

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	3
Q3	4
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.81432764
Coefficient of variation (CV)	0.25871297
Kurtosis	-0.33032527
Mean	3.1476104
Median Absolute Deviation (MAD)	1
Skewness	-0.07231958
Sum	253625
Variance	0.6631295
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	36481	45.3%
4	24683	30.6%
2	15724	19.5%
5	2572	3.2%
1	1112	1.4%
6	5	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1112	1.4%
2	15724	19.5%
3	36481	45.3%
4	24683	30.6%
5	2572	3.2%
6	5	< 0.1%

Value	Count	Frequency (%)
6	5	< 0.1%
5	2572	3.2%
4	24683	30.6%
3	36481	45.3%
2	15724	19.5%
1	1112	1.4%

p2
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8523152

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.94838335
Coefficient of variation (CV)	0.33249599
Kurtosis	0.56427022
Mean	2.8523152
Median Absolute Deviation (MAD)	1
Skewness	0.60973087
Sum	229831
Variance	0.89943098
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	31402	39.0%
2	28158	34.9%
4	14442	17.9%
1	3100	3.8%
5	2409	3.0%
6	1066	1.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3100	3.8%
2	28158	34.9%
3	31402	39.0%
4	14442	17.9%
5	2409	3.0%
6	1066	1.3%

Value	Count	Frequency (%)
6	1066	1.3%
5	2409	3.0%
4	14442	17.9%
3	31402	39.0%
2	28158	34.9%
1	3100	3.8%

p3
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.0922099

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	3
Q3	4
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.79021518
Coefficient of variation (CV)	0.2555503
Kurtosis	-0.18869267
Mean	3.0922099
Median Absolute Deviation (MAD)	1
Skewness	-0.054623924
Sum	249161
Variance	0.62444003
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	39161	48.6%
4	22159	27.5%
2	16094	20.0%
5	1899	2.4%
1	1245	1.5%
6	19	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1245	1.5%
2	16094	20.0%
3	39161	48.6%
4	22159	27.5%
5	1899	2.4%
6	19	< 0.1%

Value	Count	Frequency (%)
6	19	< 0.1%
5	1899	2.4%
4	22159	27.5%
3	39161	48.6%
2	16094	20.0%
1	1245	1.5%

p4
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8029587

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.92089696
Coefficient of variation (CV)	0.32854461
Kurtosis	0.71031686
Mean	2.8029587
Median Absolute Deviation (MAD)	1
Skewness	0.64368702
Sum	225854
Variance	0.84805121
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	31690	39.3%
2	29625	36.8%
4	13294	16.5%
1	3104	3.9%
5	1930	2.4%
6	934	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3104	3.9%
2	29625	36.8%
3	31690	39.3%
4	13294	16.5%
5	1930	2.4%
6	934	1.2%

Value	Count	Frequency (%)
6	934	1.2%
5	1930	2.4%
4	13294	16.5%
3	31690	39.3%
2	29625	36.8%
1	3104	3.9%

p5
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4685084

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	4
Q3	4
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.85981476
Coefficient of variation (CV)	0.24789179
Kurtosis	-0.28768446
Mean	3.4685084
Median Absolute Deviation (MAD)	1
Skewness	-0.37714723
Sum	279482
Variance	0.73928142
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	38179	47.4%
3	24182	30.0%
2	11466	14.2%
5	5982	7.4%
1	646	0.8%
6	122	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	646	0.8%
2	11466	14.2%
3	24182	30.0%
4	38179	47.4%
5	5982	7.4%
6	122	0.2%

Value	Count	Frequency (%)
6	122	0.2%
5	5982	7.4%
4	38179	47.4%
3	24182	30.0%
2	11466	14.2%
1	646	0.8%

p6
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.1728905

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.0100054
Coefficient of variation (CV)	0.31832344
Kurtosis	-0.25699407
Mean	3.1728905
Median Absolute Deviation (MAD)	1
Skewness	0.31142629
Sum	255662
Variance	1.020111
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	28662	35.6%
4	22256	27.6%
2	20734	25.7%
5	6086	7.6%
1	1656	2.1%
6	1183	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1656	2.1%
2	20734	25.7%
3	28662	35.6%
4	22256	27.6%
5	6086	7.6%
6	1183	1.5%

Value	Count	Frequency (%)
6	1183	1.5%
5	6086	7.6%
4	22256	27.6%
3	28662	35.6%
2	20734	25.7%
1	1656	2.1%

p7
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

3	38706
2	27516
1	14329
4	26

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	80577
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	38706	48.0%
2	27516	34.1%
1	14329	17.8%
4	26	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	38706	48.0%
2	27516	34.1%
1	14329	17.8%
4	26	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
3	38706	48.0%
2	27516	34.1%
1	14329	17.8%
4	26	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	38706	48.0%
2	27516	34.1%
1	14329	17.8%
4	26	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	38706	48.0%
2	27516	34.1%
1	14329	17.8%
4	26	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	38706	48.0%
2	27516	34.1%
1	14329	17.8%
4	26	< 0.1%

p8
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

3	47683
2	26689
1	6132
4	73

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	80577
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	47683	59.2%
2	26689	33.1%
1	6132	7.6%
4	73	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	47683	59.2%
2	26689	33.1%
1	6132	7.6%
4	73	0.1%

Most occurring characters

Value	Count	Frequency (%)
3	47683	59.2%
2	26689	33.1%
1	6132	7.6%
4	73	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	47683	59.2%
2	26689	33.1%
1	6132	7.6%
4	73	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	47683	59.2%
2	26689	33.1%
1	6132	7.6%
4	73	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	47683	59.2%
2	26689	33.1%
1	6132	7.6%
4	73	0.1%

p9
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

2	56499
1	23042
3	1036

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	80577
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	56499	70.1%
1	23042	28.6%
3	1036	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	56499	70.1%
1	23042	28.6%
3	1036	1.3%

Most occurring characters

Value	Count	Frequency (%)
2	56499	70.1%
1	23042	28.6%
3	1036	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	56499	70.1%
1	23042	28.6%
3	1036	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	56499	70.1%
1	23042	28.6%
3	1036	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	56499	70.1%
1	23042	28.6%
3	1036	1.3%

p10
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

2	53246
1	24653
4	2561
3	117

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	80577
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	53246	66.1%
1	24653	30.6%
4	2561	3.2%
3	117	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	53246	66.1%
1	24653	30.6%
4	2561	3.2%
3	117	0.1%

Most occurring characters

Value	Count	Frequency (%)
2	53246	66.1%
1	24653	30.6%
4	2561	3.2%
3	117	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	53246	66.1%
1	24653	30.6%
4	2561	3.2%
3	117	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	53246	66.1%
1	24653	30.6%
4	2561	3.2%
3	117	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	53246	66.1%
1	24653	30.6%
4	2561	3.2%
3	117	0.1%

p11
Real number (ℝ)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.0338062

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.87635286
Coefficient of variation (CV)	0.28886251
Kurtosis	0.46557188
Mean	3.0338062
Median Absolute Deviation (MAD)	1
Skewness	0.46574516
Sum	244455
Variance	0.76799434
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	36873	45.8%
2	20852	25.9%
4	18157	22.5%
5	2656	3.3%
1	1202	1.5%
6	837	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1202	1.5%
2	20852	25.9%
3	36873	45.8%
4	18157	22.5%
5	2656	3.3%
6	837	1.0%

Value	Count	Frequency (%)
6	837	1.0%
5	2656	3.3%
4	18157	22.5%
3	36873	45.8%
2	20852	25.9%
1	1202	1.5%

p12
Real number (ℝ)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.099619

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	4
median	6
Q3	6
95-th percentile	6
Maximum	7
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.0899374
Coefficient of variation (CV)	0.21372919
Kurtosis	-0.25851009
Mean	5.099619
Median Absolute Deviation (MAD)	0
Skewness	-0.8619346
Sum	410912
Variance	1.1879636
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
6	41324	51.3%
4	17515	21.7%
5	14013	17.4%
3	6309	7.8%
2	1042	1.3%
7	243	0.3%
1	131	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	131	0.2%
2	1042	1.3%
3	6309	7.8%
4	17515	21.7%
5	14013	17.4%
6	41324	51.3%
7	243	0.3%

Value	Count	Frequency (%)
7	243	0.3%
6	41324	51.3%
5	14013	17.4%
4	17515	21.7%
3	6309	7.8%
2	1042	1.3%
1	131	0.2%

p13
Real number (ℝ)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.1357459

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	629.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.0520202
Coefficient of variation (CV)	0.33549281
Kurtosis	-0.039059401
Mean	3.1357459
Median Absolute Deviation (MAD)	1
Skewness	0.43398808
Sum	252669
Variance	1.1067466
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	34924	43.3%
2	18675	23.2%
4	14205	17.6%
5	8566	10.6%
1	2869	3.6%
6	1338	1.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2869	3.6%
2	18675	23.2%
3	34924	43.3%
4	14205	17.6%
5	8566	10.6%
6	1338	1.7%

Value	Count	Frequency (%)
6	1338	1.7%
5	8566	10.6%
4	14205	17.6%
3	34924	43.3%
2	18675	23.2%
1	2869	3.6%

p14
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

3	68361
2	6165
1	5951
4	100

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	80577
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	68361	84.8%
2	6165	7.7%
1	5951	7.4%
4	100	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	68361	84.8%
2	6165	7.7%
1	5951	7.4%
4	100	0.1%

Most occurring characters

Value	Count	Frequency (%)
3	68361	84.8%
2	6165	7.7%
1	5951	7.4%
4	100	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	68361	84.8%
2	6165	7.7%
1	5951	7.4%
4	100	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	68361	84.8%
2	6165	7.7%
1	5951	7.4%
4	100	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	68361	84.8%
2	6165	7.7%
1	5951	7.4%
4	100	0.1%

p15
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.8 MiB

3	63370
1	9093
2	8004
4	110

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	80577
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	63370	78.6%
1	9093	11.3%
2	8004	9.9%
4	110	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	63370	78.6%
1	9093	11.3%
2	8004	9.9%
4	110	0.1%

Most occurring characters

Value	Count	Frequency (%)
3	63370	78.6%
1	9093	11.3%
2	8004	9.9%
4	110	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	63370	78.6%
1	9093	11.3%
2	8004	9.9%
4	110	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	63370	78.6%
1	9093	11.3%
2	8004	9.9%
4	110	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	80577	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	63370	78.6%
1	9093	11.3%
2	8004	9.9%
4	110	0.1%

Auto

Heatmap
Table

	con	ent	h_mud	i_per	ing	mpio	p1	p10	p11	p12	p13	p14	p15	p2	p3	p4	p5	p6	p7	p8	p9	v_sel
con	1.000	0.056	0.000	0.000	0.048	0.142	0.007	0.018	0.037	0.026	0.041	0.006	0.008	0.004	0.019	0.002	0.018	-0.001	0.016	0.028	0.012	0.012
ent	0.056	1.000	0.041	0.058	0.096	0.310	-0.071	0.093	-0.095	-0.041	-0.062	0.098	0.104	-0.032	-0.082	-0.040	-0.094	-0.053	0.130	0.121	0.136	0.028
h_mud	0.000	0.041	1.000	0.011	0.005	0.059	0.012	0.011	0.017	0.007	0.024	0.007	0.014	0.018	0.014	0.019	0.015	0.028	0.014	0.011	0.028	0.011
i_per	0.000	0.058	0.011	1.000	0.135	0.022	0.033	0.064	0.033	0.023	0.019	0.038	0.025	0.029	0.033	0.026	0.018	0.017	0.055	0.050	0.074	0.010
ing	0.048	0.096	0.005	0.135	1.000	0.080	0.001	0.025	-0.003	0.024	0.046	0.044	0.059	0.028	0.009	0.022	0.050	0.041	0.041	0.039	0.011	0.013
mpio	0.142	0.310	0.059	0.022	0.080	1.000	-0.017	0.035	-0.002	0.029	0.079	0.034	0.051	0.010	-0.024	0.020	0.009	0.038	0.041	0.035	0.045	0.021
p1	0.007	-0.071	0.012	0.033	0.001	-0.017	1.000	0.249	0.451	0.230	0.281	0.185	0.179	0.458	0.760	0.443	0.468	0.349	0.373	0.318	0.289	0.014
p10	0.018	0.093	0.011	0.064	0.025	0.035	0.249	1.000	0.249	0.116	0.148	0.188	0.198	0.177	0.233	0.175	0.160	0.135	0.287	0.268	0.375	0.014
p11	0.037	-0.095	0.017	0.033	-0.003	-0.002	0.451	0.249	1.000	0.276	0.364	0.196	0.206	0.479	0.459	0.472	0.380	0.388	0.288	0.285	0.327	0.018
p12	0.026	-0.041	0.007	0.023	0.024	0.029	0.230	0.116	0.276	1.000	0.277	0.091	0.106	0.218	0.232	0.228	0.292	0.299	0.144	0.149	0.165	0.021
p13	0.041	-0.062	0.024	0.019	0.046	0.079	0.281	0.148	0.364	0.277	1.000	0.117	0.137	0.314	0.292	0.315	0.331	0.386	0.179	0.175	0.208	0.009
p14	0.006	0.098	0.007	0.038	0.044	0.034	0.185	0.188	0.196	0.091	0.117	1.000	0.342	0.166	0.186	0.163	0.105	0.102	0.206	0.219	0.282	0.014
p15	0.008	0.104	0.014	0.025	0.059	0.051	0.179	0.198	0.206	0.106	0.137	0.342	1.000	0.168	0.189	0.171	0.122	0.115	0.210	0.223	0.266	0.018
p2	0.004	-0.032	0.018	0.029	0.028	0.010	0.458	0.177	0.479	0.218	0.314	0.166	0.168	1.000	0.467	0.755	0.364	0.463	0.257	0.243	0.263	0.020
p3	0.019	-0.082	0.014	0.033	0.009	-0.024	0.760	0.233	0.459	0.232	0.292	0.186	0.189	0.467	1.000	0.479	0.461	0.355	0.353	0.314	0.291	0.018
p4	0.002	-0.040	0.019	0.026	0.022	0.020	0.443	0.175	0.472	0.228	0.315	0.163	0.171	0.755	0.479	1.000	0.356	0.465	0.254	0.239	0.259	0.019
p5	0.018	-0.094	0.015	0.018	0.050	0.009	0.468	0.160	0.380	0.292	0.331	0.105	0.122	0.364	0.461	0.356	1.000	0.535	0.253	0.225	0.196	0.013
p6	-0.001	-0.053	0.028	0.017	0.041	0.038	0.349	0.135	0.388	0.299	0.386	0.102	0.115	0.463	0.355	0.465	0.535	1.000	0.202	0.189	0.207	0.020
p7	0.016	0.130	0.014	0.055	0.041	0.041	0.373	0.287	0.288	0.144	0.179	0.206	0.210	0.257	0.353	0.254	0.253	0.202	1.000	0.404	0.345	0.017
p8	0.028	0.121	0.011	0.050	0.039	0.035	0.318	0.268	0.285	0.149	0.175	0.219	0.223	0.243	0.314	0.239	0.225	0.189	0.404	1.000	0.348	0.019
p9	0.012	0.136	0.028	0.074	0.011	0.045	0.289	0.375	0.327	0.165	0.208	0.282	0.266	0.263	0.291	0.259	0.196	0.207	0.345	0.348	1.000	0.010
v_sel	0.012	0.028	0.011	0.010	0.013	0.021	0.014	0.014	0.018	0.021	0.009	0.014	0.018	0.020	0.018	0.019	0.013	0.020	0.017	0.019	0.010	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	fol	ent	con	v_sel	n_hog	i_per	ing	mpio	ageb	fch_def	p1	p2	p3	p4	p5	p6	p7	p8	p9	p10	p11	p12	p13	p14	p15
0	12A207	1	40007	3	1	1	1200.0	1	049-8	2022-01-20	3	3	3	4	4	4	3	3	2	2	4	6	4	3	3
1	12A207	1	40007	4	1	3	5000.0	1	049-8	2022-01-11	3	2	3	2	3	3	3	3	2	2	2	4	4	3	2
2	12A207	1	40007	3	1	1	1300.0	1	049-8	2022-01-20	3	3	3	4	4	4	3	3	2	2	4	6	4	3	3
3	12A207	1	40007	3	1	1	1000.0	1	049-8	2022-01-20	3	3	3	4	4	4	3	3	2	2	4	6	4	3	3
4	12A207	1	40007	3	1		NaN	1	049-8	2022-01-20	3	3	3	4	4	4	3	3	2	2	4	6	4	3	3
5	12A207	1	40007	1	1		NaN	1	049-8	2022-01-20	3	3	3	4	4	4	2	3	2	2	4	6	4	3	3
6	12A207	1	40007	1	1	2	5000.0	1	049-8	2022-01-20	3	3	3	4	4	4	2	3	2	2	4	6	4	3	3
7	12A207	1	40007	1	1	2	5000.0	1	049-8	2022-01-20	3	3	3	4	4	4	2	3	2	2	4	6	4	3	3
8	12A207	1	40007	1	1	2	6000.0	1	049-8	2022-01-20	3	3	3	4	4	4	2	3	2	2	4	6	4	3	3
9	12A207	1	40007	4	1	3	15000.0	1	049-8	2022-01-11	3	2	3	2	3	3	3	3	2	2	2	4	4	3	2

	fol	ent	con	v_sel	n_hog	i_per	ing	mpio	ageb	fch_def	p1	p2	p3	p4	p5	p6	p7	p8	p9	p10	p11	p12	p13	p14	p15
80567	12B212	32	40385	3	1	3	26000.0	56	037-9	2022-12-19	3	2	2	2	2	2	1	1	1	1	2	2	2	3	2
80568	12B212	32	40385	2	1		NaN	56	037-9	2022-12-19	3	4	3	4	4	4	3	3	2	2	4	6	5	3	3
80569	12B212	32	40385	2	1		NaN	56	037-9	2022-12-19	3	4	3	4	4	4	3	3	2	2	4	6	5	3	3
80570	12B212	32	40385	1	1	2	8700.0	56	037-9	2022-12-19	2	3	2	3	3	3	1	1	1	1	2	3	3	3	1
80571	12B212	32	40385	4	1		NaN	56	037-9	2022-12-19	4	4	4	2	3	3	3	3	2	2	2	6	3	3	3
80572	12B212	32	40385	4	1		NaN	56	037-9	2022-12-19	4	4	4	2	3	3	3	3	2	2	2	6	3	3	3
80573	12B212	32	40385	4	1		NaN	56	037-9	2022-12-19	4	4	4	2	3	3	3	3	2	2	2	6	3	3	3
80574	12B212	32	40385	4	1	2	4000.0	56	037-9	2022-12-19	4	4	4	2	3	3	3	3	2	2	2	6	3	3	3
80575	12B212	32	40385	3	1		NaN	56	037-9	2022-12-19	3	2	2	2	2	2	1	1	1	1	2	2	2	3	2
80576	12B212	32	40385	4	1		NaN	56	037-9	2022-12-19	4	4	4	2	3	3	3	3	2	2	2	6	3	3	3

Most frequently occurring

	fol	ent	con	v_sel	n_hog	ing	mpio	ageb	fch_def	p1	p2	p3	p4	p5	p6	p7	p8	p9	p10	p11	p12	p13	p14	p15	# duplicates
581	11A202	19	40364	3	1	NaN	26	095-7	2022-06-04	2	2	2	3	3	4	1	1	2	1	3	6	4	3	3	13
582	11A202	19	40364	3	1	NaN	26	095-7	2022-07-04	2	6	2	4	4	4	1	1	2	1	2	6	2	3	3	13
583	11A202	19	40364	3	1	NaN	26	095-7	2022-08-04	2	2	2	2	4	4	1	2	2	1	3	6	3	3	3	13
584	11A202	19	40364	3	1	NaN	26	095-7	2022-09-04	3	3	3	3	3	3	2	2	1	2	3	3	3	3	3	13
2434	11A208	14	40156	3	1	NaN	101	145-0	2022-03-07	3	4	4	4	5	5	3	3	2	2	5	6	3	3	3	11
4689	11B195	31	40406	2	1	NaN	50	548-A	2022-03-09	3	2	3	2	2	2	3	3	2	2	6	6	1	3	2	11
4690	11B195	31	40406	2	1	NaN	50	548-A	2022-04-11	2	1	2	1	3	2	3	3	2	2	2	4	2	3	3	11
4692	11B195	31	40406	2	1	NaN	50	548A	2022-02-15	3	6	3	2	3	1	3	3	3	2	6	4	2	3	3	11
2432	11A208	14	40156	3	1	NaN	101	145-0	2022-01-20	3	3	3	3	3	2	2	3	2	2	4	4	3	3	3	10
2435	11A208	14	40156	3	1	NaN	101	145-0	2022-12-07	4	4	4	4	4	4	3	3	2	2	4	6	5	3	3	10

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category